Статья 'Историческая информатика: поступательное движение вперед' - журнал 'Историческая информатика' - NotaBene.ru
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Historical informatics
Reference:

Historical Information Science: Incremental Progress

Vladimirov Vladimir

Doctor of History

Professor, the head of document studies, archival studies and historical information science department at Altai State University 

aud. 312, 61, prospekt Lenina, g. Barnaul, Altaiskii krai, Russia, 656049

vvladimirov@icloud.com
Другие публикации этого автора
 

 

DOI:

10.7256/2585-7797.2018.2.26997

Review date:

27-07-2018


Publish date:

02-08-2018


Abstract.

The article studies the structure and the subject matter of the current issue of Historical Information Science Journal. Overpassing 25 years of its development, historical information science continues to move forward. Somewhat a mirror of this development that reflects the established traditions and new development trends of this special historical field is the cognominal journal which current issue is analyzed in the article. The content of each issue is formed randomly, but it is this combination of a row of random moments that allows us to trace the laws of the science development. The research methodology is to analyze the subject matter of the articles submitted and briefly review them. The novelty of the article is the fact that all the articles analyzed are published for the first time and describe authors’ original works. Each new issue of the journal cannot (due to its limited volume) totally cover modern application of mathematical methods and information technologies in historical studies and education, but it grasps the most topical and breakthrough moments of historical information science.

Keywords: quantitative history, structure, content, article, issue, journal, historical information sciebce, geoinformational systems, archive, review
This article written in Russian. You can find full text of article in Russian here .

References
1.
Arnold T., Tilton L. Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. Springer, 2017. 211 p
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